Upon completion of this course, the student will be able to:
1. Explain the purpose of empirical research and the role of statistics.
2. Describe and apply the use of descriptive statistics.
3. Describe and demonstrate the use of descriptive statistics for joint distributions including correlation coefficients and linear regression.
4. Present statistical findings in appropriate formats within technical writings and reports.
5. Evaluate the reasoning behind statistical inference and how various confidence levels apply.6. Distinguish and apply the types of data where statistical tests for between-subjects designs including t-tests, one-way analysis of variance, and factorial analysis of variance can be applied
7. Comprehend and solve for the types of data using statistical tests for within-subjects and mixed designs including randomized-block analysis of variance, split-plot analysis of variance, and analysis of covariance can be applied.
8. Differentiate between parametric and nonparametric statistics and apply appropriately to analyze data for a wide range of aviation/aerospace and industrial applications.
9. Calculate multiple regression to analyze data in linear formats and recognize where non- linear formats exists.
10. Calculate Chi-square values to test hypotheses for various degrees of freedoms.